摘要
全球变暖背景下极端事件增多、增强,基于河南省107个气象观测站1961—2012年逐旬极端最高气温资料,采用去趋势波动分析方法,分析了河南省旬极端最高气温的时空变化特征。结果表明:河南省平均旬极端最高气温为25.1℃,旬极端最高气温累积离差总体上呈线性下降趋势;站间旬极端气温均方差约1.4℃;站间均方差的累积离差呈现二次函数的上升趋势;107个观测站旬极端最高气温的标度指数均小于0.5,且空间变异性较小。
Under the background of global warming, extreme events are increasing. Based on the data of 10-day extreme maximum temperature of 107 meteorological stations in Henan Province from 1961 to 2012, spatiotemporal variation characteristics were analyzed by using the method of detrended fluctuation analysis. Results show that the mean value of lO-day extreme maximum temperature is 21.5 ℃, and the accumulated deviation of extreme maximum temperature presents a linear decreasing trend. The value of standardized errors among the stations is about 1.4 ℃ , and the accumulated deviation of standardized errors among the stations increases as a quad- ratic function. The scaling exponent of extreme high temperature of each station is below 0.5, and the variability among stations is small.
出处
《华北水利水电大学学报（自然科学版）》
2017年第4期79-83,共5页
Journal of North China University of Water Resources and Electric Power：Natural Science Edition
基金
"十三五"国家重点研发计划项目(2016YFA0601501
2016YFA0601601)
国家自然科学基金项目(51079131)
中国气象局农业气象保障与应用技术重点开放实验室项目(AMF201509)
关键词
河南省
去趋势波动分析
旬极端最高气温
时空变化特征
Henan Province
Detrended Fluctuation Analysis （DFA）
10-day extreme maximum temperature
spatiotemporal variation characteristics
